Reinders, Marcel Prof. dr. ir.

General info

Street / P.O. Box

HB 11.300, Mekelweg 4

Zip code

2628 CD

City

Delft

Country

The Netherlands

E-mail

marcel.reinders@removethis.nbic.nl

Phone number(s)

+31 (0)15 2786424

Fax

+31 (0)15 2781843

Website(s)

http://ict.ewi.tudelft.nl/~mar...

http://nl.linkedin.com/in/mjtr...

Principal Research

Currently, Marcel Reinders is active in the field of Machine Learning. Besides studying fundamental issues, he applies machine learning techniques to the areas of bioinformatics, computer vision and context-aware recommender systems. His special interest goes towards understanding complex systems (such as biological systems) that are severely under-sampled. Issues that he studies are, amongst others, constraining or reducing the complexity of models, the influences on and necessary adaptations of learning algorithms when dealing with extremely low number of training samples, and modeling of highly irregular classes. His specific expertise in bioinformatics research covers the analysis and interpretation of high-throughput screening devices (mainly micro-arrays). He has made contributions to topics like clustering, genetic network modeling and molecular classification.

Marcel Reinders is a professor at the Faculty of Electrical Engineering, Mathematics and Computer Science in the Information and Communication Theory group.

Interests

Machine Learning, Bioin­formatics, Computer Vision, Data Mining, Recommender Systems and Man-Machine Interfacing.

Projects involved (as projectleader)

• Unifying framework for data-driven pathway discovery
• Multi-scale analysis of high-throughput ‘omics’ data

Courses

• Analysis of microarray gene expression data
• PhD Course Algorithms for biological networks - registration open!
• Algorithms for biological networks

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